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, cell culture, and microbiological assays. Plan, conduct, and analyze scientific experiments, including statistical evaluation of experimental data. Contribute to the preparation of scientific
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of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Statistics is offering 1-2 postdoctoral scholarships
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24 Jul 2026 Job Information Organisation/Company Université Grenoble Alpes Research Field Computer science » Programming Researcher Profile Leading Researcher (R4) Application Deadline 30 Jul 2026
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- 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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Date 1 Jan 2027 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number ANR Cocat-Light Is the Job related to staff position within a Research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is
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to ongoing research programs. Present research findings at local, national, and international scientific meetings and contribute to dissemination activities targeting academic, clinical, and community
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in